Pinterest - Staff Machine Learning Engineer, Computer Vision
Requirements
• Research engineers and scientists with experience building and training computer vision models. • Experience with multimodal representations and visual language modeling is strongly preferred. • A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production. • Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch). • Strong collaboration skills and a demonstrated ability to work effectively in a small, fast-moving team. • M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience. • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. • In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. • #LI-REMOTE#LI-AK7 • At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. • Information regarding the culture at Pinterest and benefits available for this position can be found here. • US based applicants only • $189,308—$389,753 USD • Our Commitment to Inclusion:
Responsibilities
• Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models. • Experiment with billion-scale datasets and gain hands-on experience with large-scale GPU computing. • Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction-tuned embedding and generative models. • Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy. • Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling. • Publish and share your work through conferences, paper submissions, and blog posts. • Mentor junior researchers and research interns within the Pinterest Labs organization.
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